Notebook from Kaggle competition "Titanic: Machine Learning from Disaster". shows an approach for prediction of survival of a person on the Titanic. It gives a comparison of Neural Network (NN) using Sequential Model from Keras API for TensorFlow and Random Forest Classifier (RF) from scikit-learn.
Further, I will be using Hyperparameter Opimization technique, Grid Search for the NN model and Random Search for RF model.
Link to Kaggle Profile - https://www.kaggle.com/shreyask92
Link to Kaggle Kernal - https://www.kaggle.com/shreyask92/titanic-machine-learning-from-disaster
To view the results, download the HTML file and open it in a browser.